Optimization of machine-process parameters with statistical experiment design method in rubber production

The aim of this thesis is to provide optimization of machine process parameters which minimizes quality errors in a rubber production enterprise by applying statistical design of experiments. For this purpose, injection machine parameters which are important on quality characteristics in production process have been investigated. In the experimental experimental design process the effect of the following parameters are examined; mold temperature, burning period and injection rate. The experiments were carried out in a leading company in the Çerkezköy / Tekirdağ region. In this study, design points have been formed for the production of gasket used in the washing machines by applying full factorial experimental design. Reaction variables of the products produced at the design points created (no break, no tear, no burns and no burr) were measured and regression model was developed for each response variables and machine process parameters that optimize response variables are determined. Reliability analysis was performed for the developed models and the applicability of the results was evaluated.